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Projection super-resolution based on convolutional neural network for computed tomography

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10278-017-0033-zopenalex-snapshot

Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT

inferredcites →https://doi.org/10.1088/1361-6560/aacdd4openalex-snapshot

Computed tomography super-resolution using deep convolutional neural network

inferredcites →https://doi.org/10.1109/cbms.2007.13openalex-snapshot

A System for Computer Aided Detection of Diseases Patterns in High Resolution CT Images of the Lungs

inferredcites →https://doi.org/10.1109/msp.2003.1203207openalex-snapshot

Super-resolution image reconstruction: a technical overview

inferredcites →https://doi.org/10.1109/trpmsopenalex-snapshot

IEEE Transactions on Radiation and Plasma Medical Sciences

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.3724/sp.j.1087.2012.01407openalex-snapshot

GPU-based parallel implementation of FDK algorithm for cone-beam CT

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4643014openalex-extracted

FRNAF: Frequency Regularization Neural Attenuation Fields for Sparse-View CBCT Reconstruction

inferred← citeshttps://doi.org/10.1002/mp.17557openalex-snapshot

Deep learning based super‐resolution for CBCT dose reduction in radiotherapy

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_42openalex-snapshot

NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-43999-5_2openalex-snapshot

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

inferred← citeshttps://doi.org/10.1007/s10044-025-01416-xopenalex-snapshot

DE-NAF: decoupled neural attenuation fields for sparse-view CBCT reconstruction

inferred← citeshttps://doi.org/10.1088/1361-6560/ac0684openalex-snapshot

High through-plane resolution CT imaging with self-supervised deep learning

inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00028openalex-snapshot

Non-Linear Anisotropic Diffusion for Memory-Efficient Computed Tomography Super-Resolution Reconstruction

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00197openalex-snapshot

IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction

inferred← citeshttps://doi.org/10.1145/3528223.3530121openalex-snapshot

NeAT

inferred← citeshttps://doi.org/10.1177/08953996241301661openalex-snapshot

RNAF: Regularization neural attenuation fields for sparse-view CBCT reconstruction

inferred← citeshttps://doi.org/10.1364/ao.534352openalex-snapshot

PE-INeR: prior-embedded implicit neural representation for sparse-view CBCT reconstruction

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